Free: 5 messages/session · No credit card required
Three AI agents, each specialized for a different phase of your interview preparation.
FAANG Bar Raiser
Hiring Committee
Staff Engineer Mentor
Our AI agents cover the major data engineering interview domains.
Window functions, CTEs, query optimization, BigQuery, Redshift
RDDs, DataFrames, Delta Lake, performance tuning, data skew
Pipeline architecture, batch vs stream, medallion, fault tolerance
PySpark, pandas, algorithms, data structures, OOP patterns
AWS Glue, GCP Dataflow, Airflow, Snowflake, Terraform
STAR method, leadership, conflict resolution, career goals
You choose one of three AI agents and start a conversation. The Interviewer agent asks real FAANG-caliber questions, follows up on your answers, and delivers a hire/no-hire verdict. The Evaluator scores your answers on a 10-point scale across accuracy, depth, communication, and completeness. The Explainer teaches you concepts with production examples and code.
Our agents use a curated data engineering question library and structured prompts for interview practice. They provide scoring and topic-specific feedback, but they do not predict actual hiring decisions.
Yes. The public question library and expert answers are free to read without an account. Signed-in free users get 3 AI coach messages per day; Pro subscribers get 20 per day across the interview agents.
All major data engineering domains: SQL (window functions, CTEs, optimization), Apache Spark (RDDs, DataFrames, tuning), System Design (pipelines, batch vs streaming, lakehouse), Python (PySpark, pandas, algorithms), Cloud (AWS, GCP, Airflow, Snowflake), and Behavioral rounds.
Yes. Our question database is tagged by company. You can ask the AI Interviewer to focus on questions frequently asked at specific companies, and it will pull from real reported interview data for that company.
The Evaluator agent scores your answers against expert-calibrated benchmark answers stored in our database. It rates accuracy (1-10), depth (1-10), communication (1-10), and completeness (1-10), then delivers an overall hire/no-hire verdict with specific gap analysis.
Practice with 750+ in-depth data engineering interview answers sourced from 98 companies including Amazon, Google, and Databricks — with instant AI feedback on every answer.